*** Reducing the Carbon Footprint of Academic Conferences by Online Participation - the Case of the 2020 Virtual ECPR General Conference ***
Sebastian Jäckle

The replication data includes

1) This ReadMe File
2) Coordinates.xlsx containing the latitude and longitude of participants' home institutions & conference venues
3) Replication.xlsx containing all data and calculations for reproducing the tables and figures in the article
4) SimulationHybrid.xlsx containing the data needed for "SimulationHybrid.do"
5) SimulationHybrid.do, a Stata-Do-File calculating the means and confidence intervals of the carbon footprint if 10%, 25% or 50% of the participants of the ECPR General Conference 2020 had been chosen randomly to join online.


The distances between the participants' home institutions and the conference venues were calculated in QGIS (https://www.qgis.org) based on data in "Coordinates.xlsx":
a) flight distance: Algorithm: 'qgis:distancetonearesthublinetohub'
b) fastest route by car/bus: OpenRouteService API (https://github.com/GIScience/orstools-qgis-plugin/wiki/)
c) shortest route on the railroad network: railroad network from https://www.naturalearthdata.com/downloads/10m-cultural-vectors/railroads/; Algorithm: 'native:shortestpathlayertopoint'
These distances are then imported into "Replication.xlsx" (--> e.g. sheets "roads_Bordeaux_2013", or "railroads_Hamburg_2018").

The results from the simulation in Stata in imported into "Replication.xlsx" (sheets: "hybrid5h" and "hybrid20h").


 